Staff AI Engineer Job at Teradata (Hyderabad)

Staff AI Engineer

Teradata

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Staff AI Engineer, you will be a senior technical leader responsible for designing, evolving, and scaling Teradata’s enterprise AI platforms and capabilities. This role goes beyond feature delivery—you will own architecture‑level decisions, influence AI platform strategy, and lead complex initiatives spanning agentic AI, LLM platforms, retrieval‑augmented generation (RAG), vector stores, and developer‑facing AI systems. You will operate with a high degree of autonomy, partner closely with product and architecture leadership, and raise the technical bar across multiple teams.

Job Responsibility:

Lead the design and evolution of large‑scale, distributed AI systems that power Teradata’s AI platform and AI‑native products
Own end‑to‑end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
Drive technical strategy and architectural consistency across multiple engineering teams
Design and implement production‑grade AI systems using LLMs, embeddings, vector databases, and agent‑based architectures
Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
Influence roadmap decisions by providing deep technical insight, trade‑off analysis, and long‑term platform thinking
Act as a technical escalation point for complex system design, performance, and reliability challenges
Drive best practices for testing, observability, evaluation, and production readiness of AI systems
Identify systemic performance bottlenecks and lead efforts to optimize distributed systems and AI pipelines
Establish engineering standards that improve development velocity, quality, and operational resilience
Mentor Senior and Staff‑level engineers, providing guidance on architecture, design reviews, and technical decision‑making
Raise the overall engineering bar through design forums, technical reviews, and knowledge sharing
Lead by example through hands‑on contributions to the most complex and business‑critical problems

Requirements:

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
8+ years of experience building backend services, distributed systems, or data/AI platforms
Strong proficiency in Java, Go, or Python, with experience building large‑scale services
Deep understanding of distributed system design, scalability, fault tolerance, and cloud‑native architectures
Proven experience designing and operating production systems with SQL and NoSQL data stores

Nice to have:

Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks
Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning
Experience building or operating AI systems in cloud environments (AWS, Azure, or GCP)
Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability

What we offer:

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Additional Information:

Job Posted:
March 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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